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CaseNotes vs WhatsApp platforms vs WDDNG

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: none in common
  • Both kinds of work: AI
  • Order: WhatsApp platforms (2018 – 2022) → WDDNG (Jan 2026 – present) → CaseNotes (Feb 2026 – present)

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CaseNotes ›

South African legal research, e-discovery and learning, powered by AI

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

WDDNG ›

South Africa's wedding marketplace, with two apps on Google Play

At a glance

Role
Founder / Lead Engineer
When
Feb 2026 – present
Length
9 mo so far
Status
Live
Type
AI, Web, Mobile
Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI
Role
Founder / Full-stack & Mobile Engineer
When
Jan 2026 – present
Length
10 mo so far
Status
Live
Type
AI, Mobile, Web

The problem

South African legal information is scattered across portals with limited keyword search, while international e-discovery platforms are often priced beyond the local market.
A WhatsApp-based job platform (Altur), Harambee Youth Accelerator's move from a mobisite to WhatsApp, and eButler's WhatsApp ordering with payments through Flash.
South African couples plan across fragmented directories, WhatsApp messages and opaque “price on request” listings, while many international tools don't support local multi-ceremony wedding journeys.

What was built

An integrated research, e-discovery and learning platform: hybrid semantic search across more than 10,000 judgments, a precedent citation graph, structured document extraction, AI-assisted discovery and stateful research workflows.
—
A Next.js and Supabase marketplace with two Kotlin / Jetpack Compose Android apps on Google Play: one for couples, one for vendors. Thuli, the AI planner, is a LangGraph supervisor coordinating 16 specialist agents.

Stack

  • Next.js
  • FastAPI
  • PostgreSQL
  • pgvector
  • Neo4j
  • Redis/ARQ
  • Azure OpenAI
  • LangChain
  • LangGraph
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio
  • Next.js
  • Supabase
  • PostgreSQL
  • Kotlin
  • Jetpack Compose
  • LangGraph
  • Zod
  • Paystack
  • Azure
  • LangSmith

Highlights

  • Five-stage Graph RAG pipeline in LangGraph
  • Hybrid pgvector and Neo4j retrieval, and a TAR active-learning loop
  • Human-in-the-loop tool-calling chat with PostgreSQL checkpoints
  • MCP server for case search and drafting
  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo
  • Two Kotlin / Jetpack Compose Android apps published on Google Play
  • Thuli: a LangGraph supervisor coordinating 16 specialist agents through Zod-typed handoff tools
  • Per-agent model selection, token metering and LangSmith tracing
  • SSE streaming that renders vendor cards and progress during an answer

Infrastructure choices

  • pgvector + Neo4j
  • Redis / ARQ workers
  • LangGraph with PostgreSQL checkpoints
—
  • Supabase with PostgreSQL RLS

Outcome

An integrated research and review platform grounded in more than 10,000 judgments, with a structured learning bank of 1,624 rubric-scored questions. The architecture supports resumable jobs, traceable sources and human review.
—
The marketplace runs across web and two production Android apps, giving couples structured planning tools and vendors better-qualified enquiries with date, budget and guest-count context.

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